Machine Learning Engineer

A US-based company building an efficient SaaS Physician platform that taps into the power of AI-based augmentation and scribe system is looking for a Machine Learning Engineer. The engineer will be in charge of making several key infrastructure-related decisions. The company is delivering solutions that eliminate friction points in the patient encounter and creating end-to-end efficiencies in the clinic. It has managed to raise more than $13.5 mn during their Seed round of funding. This role requires 4+ hours of overlap with the PST time zone and will be a full-time, long-term position.

Job Responsibilities:

• Work collaboratively across technology teams to implement solutions
• Build scalable, responsive, and well-documented stacks
• Communicate well with technical and non-technical stakeholders
• Tackle complex technical problems and build innovative solutions

Job Requirements:

• Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
• At least 5+ years of relevant experience as a Machine Learning engineer
• Demonstrable experience working with NLP and Python
• Highly independent and excellent leadership skills
• Ability to complete tasks autonomously
• Excellent communication and collaboration skills
• Fluent in spoken and written English